Dissertations / Theses on the topic 'AI adoption'
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Roa, Baez Julian, and Remi Leon Igbekele. "Challenges of AI Adoption in SMEs." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301269.
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This thesis paper discusses the adoption of Artificial Intelligence (AI) technologies in the context of small and medium-sized companies. AI is a disruptive innovation currently leading a technological transition in many industries. Academic literature on its adoption in the context of SMEs is limited. This thesis aims to answer the research question "W hat are the main challenges of AI adoption in SMEs?". The authors use a qualitative research approach, interviewing 18 representatives of different Swedish organizations to answer the question. The authors identify six main challenge categories regarding AI adoption in SMEs via a coding process, which are Change Management, Education, Data, Hiring, Project Structuring, and External Help. The authors show similarities to challenges described in the existing literature on AI adoption. However, Hiring and External Help impact AI adoption in SMEs more significantly than in larger corporations, while Change Management can be easier for smaller organizations. Furthermore, a framework that helps to prioritize the above challenges is introduced. In comparison with literature on the adoption of other (non-AI) IT innovations in SMEs, some challenges are more salient to AI: the unclear definition of the term, false expectations as a result of the AI Hype, the uncertainty of project outcome, and the prerequisite of a previous digitalization process. The authors recommend further research in other contexts.I denna avhandling diskuteras införandet av artificiell intelligens (AI) teknik i små och medelstora företag. AI är en disruptiv innovation som för närvarande leder en teknisk övergång i många branscher. Den akademiska litteraturen kring dess användning i små och medelstora företag är begränsad. Denna avhandling syftar till att besvara forskningsfrågan "Vilka är de största utmaningarna med att införa AI i små och medelstora företag?". Författarna använder en kvalitativ forskningsansats och intervjuar 18 representanter från olika svenska organisationer för att besvara frågan. Författarna identifierar sex huvudsakliga utmaningar områden avseende AI-adoption i små och medelstora företag via en kodningsprocess: förändringshantering, utbildning, data, anställning, projekt strukturering och extern hjälp. Författarna visar på likheter med de utmaningar som beskrivs i den befintliga litteraturen om AI-användning. Anställning och extern hjälp påverkar dock AI-användningen i små och medelstora företag mer påtagligt än i större företag, medan förändringshantering kan vara lättare för mindre organisationer. Vidare introduceras ett ramverk som hjälper till att prioritera ovanstående utmaningar. I jämförelse med litteratur om antagandet av andra (icke-AI) IT-innovationer i små och medelstora företag är vissa utmaningar mer framträdande när det gäller AI: den oklara definitionen av begreppet, falska förväntningar som ett resultat av AI-hypen, osäkerheten från projektresultatet och förutsättningen av tidigare digitaliseringsprocess. Författarna rekommenderar ytterligare forskning i andra sammanhang.
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Kim, Jee Won. "How speciesism affects artificial intelligence (AI) adoption intent." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/228673/1/Jee%20Won_Kim_Thesis.pdf.
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As there have been concerns about the excessive advancement of artificial intelligence (AI) surpassing humans, exploring reactions to AI as challenging human superiority is meaningful. By examining how the hierarchical and discriminative views on animals (speciesism) affects the views on non-living AI, this thesis has significant and novel contributions to AI adoption literature and AI product marketing.
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Savola, Tommi, Tyko Tuohimaa, and Sebastian Berg. "AI-Enhanced Marketing Management – Factors Influencing Adoption in SMEs." Thesis, Högskolan i Jönköping, Internationella Handelshögskolan, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-39908.
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Recent developments and hype around artificial intelligence (AI) have arisen as result of two main factors: increase in computational power and data. Although marketing is considered as one of the main business applications within AI today, there is a lack of literature combining the disciplines. Marketing management tools, which utilise AI in supporting decision making are referred to as knowledge-driven marketing management support systems (MMSS). These systems provide besides quantitative analysis, further qualitative facets into marketing management. Despite the willingness of many SMEs to engage with the technology that may foster competitive advantage, many adoption processes fail. The purpose of this thesis is to explore the factors influencing adoption of knowledge-driven MMSS in SMEs in Finland and Sweden. Qualitative primary data was collected from nine company representatives at top management level in Finnish and Swedish firms. Companies were classified in three categories, providers, adopters and non-adopters of knowledge-driven MMSS. The findings show that there are several factors influencing adoption of knowledge-driven MMSS. The factors were grouped into technological, organizational and environmental factors, based on the TOE framework. Even though SMEs suffer from a lack of resources compared to large companies, this research suggests that they are at the forefront of adopting AI for marketing purposes. Additionally, it was found that the factors affecting adoption are dependent on whether the knowledge-driven MMSS is built in-house or outsourced. This study has contributed to the identified gaps in literature by combining the disciplines of AI, marketing and SMEs, and by exploring the factors behind adoption of knowledge-driven MMSS. The authors of this thesis have the aspiration that the developed post-empirical framework will serve as a guiding tool for top management and marketing managers in SMEs looking to adopt knowledge-driven MMSS into their organizations.
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Stenberg, Louise, and Svante Nilsson. "Factors influencing readiness of adopting AI : A qualitative study of how the TOE framework applies to AI adoption in governmental authorities." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279583.
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Artificial intelligence is increasing in interest and it is creating value to many organizations world-wide. Due to the potential, governmental authorities in Sweden who work with large volumes of text documents are interested in natural language processing models, which is a sub field of AI and have started to incorporate it to their organizations. This study explores and discusses factors that are influential for governmental authorities when adopting AI and highlights ethical aspects which are of importance for the adoption process. This is explored through a literature review which lead to a frame of reference built on the Technology Organization Environment framework (TOE), which then was tested through interviews with project leaders and AI architects at governmental authorities who are working with language models. The results show that the TOE framework is suitable for analysing AI adoption for governmental authorities. The factors that are found influential are Relative Advantage, Compatibility and Complexity, Management support, Staff capacity, Regulatory environment and Cooperation. Furthermore, the findings suggest that AI Ethics and Data access are influential in all three contexts of technology, organization and environment. The findings of this study confirm results from previous research regarding adoption of new technology, and also provides the literature with exploring the adoption process of AI in governmental authorities, which was not widely explored in literature on beforehand.Allt fler intresserar sig för artificiell intelligens då det skapar värde för många organisationer. Svenska myndigheter som arbetar med stora mängder textdokument ser potentialen i AI och har börjat implementera språkmodeller, ett sorts AI, i sina organisationer. Den här studien utforskar och diskuterar faktorer som är inflytelserika inför implementering av AI och belyser etiska aspekter som är viktiga för implementationsprocessen. Detta har utforskats först genom en litteraturstudie, ur vilken ett ramverk som bygger på Teknologi Organisation Miljö-ramverket (TOE) har tagits fram. Detta har sedan testats genom intervjuer med projektledare och AI arkitekter på svenska myndigheter som arbetar med språkmodeller. Resultaten visar att TOE-ramverket lämpar sig väl för att analysera adoptering av AI i myndigheter. Faktorerna som har identifierats som inflytelserika är relativ fördel, kompatibilitet, komplexitet, ledningsstöd, anställdas kapacitet, regleringskontext och samarbete. Dessutom föreslås det att etik för AI och datatillgång ska spänna över alla tre kontexter inom TOE. Resultaten av studien bekräftar tidigare forskning gällande adoptering av nya teknologier, och den bidrar även till litteraturen genom att utforska adopteringsprocessen av AI i myndigheter, vilket inte har utforskats i större utsträckning tidigare.
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Tersander, Jacob. "AI – Can You Afford To Wait?" Thesis, KTH, Skolan för industriell teknik och management (ITM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241051.
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The paradigm of diffusion research can be traced back all the way to the 1940s when Ryan and Gross investigated the diffusion of hybrid seed among farmers in Iowa. Since the 1960s diffusion research has been applied in a wide variety of disciplines, for instance, to study the diffusion of the Internet and the non-diffusion of the Dvorak keyboard. Currently, the technologies that are on top of the Gartner Hype Cycle are all associated with Artificial Intelligence (AI), which shortly can be defined as learning devices that perceive their environment and take actions to maximize their success at some goal. Consequently, some people suggest that the current hype surrounding AI can be the end of the human kind, while others believe it will give way for millions of fresh jobs and cleverer decision-making. In recent years both media and political organizations have shown great interest in AI. In addition, the industry is captivated by the potential uses of AI. In the last years, AI-related companies in the US have raised billions of dollars in the stock market together with a large number of acquisitions. The large flow of capital into AI technology underpins the fast development of AI solutions. The purpose of this study is to investigate how groups approach AI. What can be concluded after reviewing different sectors is that organizations seem to share a common interest of AI. Furthermore, organizations share the opinion that eventually AI will be a more natural part of their processes. Organizations investing a larger share of their budget in R&D have a longer experience of using AI and are currently doing projects utilizing more advanced technologies within AI. In organizations from other sectors, the investments in AI depend on the people with the authority to invest money in projects and their view on AI. Organizations generally seem to approach AI in a similar way. Firstly, they evaluate what AI is. Secondly, they find areas to make small iterative PoC-projects utilizing AI, usually with machine learning. Finally, more money is invested if the PoC-projects were successful and the organization starts looking at how to acquire more competence within the area to fully exploit the value of AI.Paradigmet för innovationsspridning kan spåras ända tillbaka till 1940-talet när Ryan och Gross undersökte spridningen av hybridfrön bland bönder i Iowa. Sedan 1960-talet har forskningen tillämpats inom en mängd olika discipliner, till exempel för att studera spridningen av Internet och icke-spridningen av Dvorak-tangentbordet. För närvarande är teknologierna som ligger på toppen av Gartner Hype-cykeln alla förknippade med artificiell intelligens (AI), som kan definieras som lärande enheter som uppfattar sin miljö och vidtar åtgärder för att maximera sin framgång gällande något mål. Hypen som nu finns kring AI har lett till att vissa människor tror att det kan innebära slutet för mänskligheten medan andra tror att det kommer att ge plats för miljoner nya jobb och smartare beslutsfattande. Under de senaste åren har både medier och politiska organisationer visat stort intresse för AI samt visat intresse för potentiella användningsområden av AI. AI-relaterade företag i USA har under de senaste åren har tagit in miljarder dollar i riskkapital. Ett stort antal förvärv och kapitalflödet till AI-teknik ökar den snabba utvecklingen av AI-lösningar. Syftet med denna studie är att beskriva spridningen av AI i organisationer från ett antal olika sektorer. Vad som kan sägas efter att ha studerat olika sektorer är att organisationer delar en gemensam nyfikenhet för AI och att de tror att AI kommer bli en allt mer naturlig del av sina processer. De företag som spenderar mycket pengar på FoU har längre erfarenhet av att använda AI och gör för närvarande projekt som använder mer avancerade tekniker. I andra organisationer är investeringarna inom AI beroende av de anställda som har rätt att investera pengar i projekt och deras syn på AI. Organisationer verkar allmänt närma sig AI på ett liknande sätt där de först utvärderar vad AI är. Därefter väljer de ett antal områden där de gör små iterativa projekt där de utnyttjar AI, vanligtvis via ML. Därefter investerades mer pengar om de små projekten lyckas och företaget börjar titta på hur man kan förvärva mer kompetens inom området.
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Pajany, Peroumal. "AI Transformative Influence: Extending the TRAM to Management Student's AI’s Machine Learning Adoption." Franklin University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=frank1623093426530669.
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Rabe, Erik, and Zacharias Sundlöf. "Bidragande faktorer till attityder gentemot implementering av AI-styrda fordon." Thesis, Uppsala universitet, Institutionen för informatik och media, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-417547.
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Artificiell intelligens är en form av teknik som blir vanligare inom samhället. I takt med att tekniken utvecklas blir även diskussionen inom området mer utvecklad vilket resulterat i att eventuella problem och möjligheter blivit mer tillgänglig information. Det finns en avsaknad av tankar och förväntningar från privatpersoners synvinkel inom ämnet vilket kan ses som negativt då de förväntas vara en majoritet av användarbasen för tekniken. Eftersom denna typ av teknik förutspås ta över ett större ansvar av mänskliga uppgifter är det viktigt att klarlägga olika typer av tillvägagångssätt samt utvecklingsperspektiv i syfte att skapa ett hälsosamt och välfungerande AI-system till respektive områden. Studien syftar till att belysa bidragande faktorer till attityder och åsikter relaterade specifikt till AI-styrda fordon ur privatpersoners perspektiv samt hur dessa kan påverka en eventuell implementering och använder sig av en kvalitativ metod. Den data som används inom arbetet har samlats in via semistrukturerade intervjuer med personer som anmält att de vill delta i studien. Analysen genomförs baserat på innovationsspridningsteorin (IDT) och relevant tidigare forskning för att undersöka vad som påverkar användare att adoptera tekniken eller inte. Faktorer som identifierades vara påverkande för adoptionsprocessen var oro över att tekniken inte skulle fungera på ett kompatibelt sätt med mänskliga värderingar, ett krav på utförlig testning samt möjligheten till att reducera olyckor eller klimatpåverkan relaterat till trafik. Utifrån dessa faktorer härleddes förslag till implementeringsprocesser vilket bestod av expanderande statligt kontrollerad testning inom kollektivtrafiken, tydligt klarlagda strukturella regler och avgränsningar samt ett främjande av de positiva faktorer som möjliggörs av AI-styrda fordon. Detta främjande kan genomföras med en effektiv kommunikation som drar nytta av vår bristfällliga rationella beslutsprocess och använder starka känslomässiga intryck.Artificial intelligence is a form of technology that is becoming increasingly more common within society. As the technology evolves, the discussion within the subject is also increasing which has made information about eventual problems and possibilities more public. There is a shortage of thoughts and expectations from the private individual’s point of view regarding this topic which can be a negative thing due to this group being expected to make up the majority of the technology’s user base. Because this type of technology is predicted to take on a larger responsibility of human tasks it is important to clarify different approaches and development perspectives in order to create a healthy and well-functioning AI-system within respective areas. The study intends to highlight contributing factors to attitudes and opinions specifically related to AI-controlled vehicles from the public's view as well as how these can affect an eventual implementation and is carried out with a qualitative method. The data that is used is gathered through semi-structured interviews with people that expressed interest in participating in the study. The analysis is based on the diffusion of innovations theory (IDT) and relevant earlier research in order to examine what influences users to adopt the technology or not. The factors that were identified to be affecting this process were worry that the technology would not work in a compatible way with human values, a demand for extensive testing as well as the possibility to reduce accidents or the affect on climate related to traffic. Several suggestions for implementation were derived from these factors which consisted of continuous expanded testing within public transport regulated by the state, clear structural rules and limitations as well as a promotion of the positive factors made possible by AI-controlled vehicles. This promotion can be done through effective communication which takes advantage of our flawed rational decision making and uses strong emotional impressions.
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Edberg, Emelie, and Lea Beck. "Adoption of AI in Digital Design : A qualitative study about the effects on the profession." Thesis, Jönköping University, Tekniska Högskolan, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-48126.
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The development of new technology plays a major role in today's society and several different industries. While some technologies have more or less an impact upon the whole working sector, one of the more recent and controversial technologies is Artificial Intelligence (AI). In recent years, this technology has evolved continuously and is spreading across several different industries. As it is clear that AI is reshaping the workplace, it is relevant to examine how and to what extent it is affecting the digital design profession. Purpose The purpose of this study is to gain insight into the current state of adoption of AI within digital design, including graphic design and web design. Furthermore, to explore the effects of AI on the nature of the profession, from the perspectives of professionals in the industry. While focusing on the creative process and the development of digital products, it investigates how the industry is experiencing the effects of AI in daily tasks and workflows. Furthermore, it examines if the implementation of AI has lead to the development of new work processes, or if traditional tasks remain but are carried out with AI tools as assistance. Method The research method is qualitative. Through literature reviews and by carrying out interviews with relevant designers currently working in the industry, the appropriate data is collected and analyzed. The interviews focus on understanding the participant’s perspective on the topic, their experiences of AI and what effect it has on their work. Through the interviews, the study identifies to what extent AI is used in creative processes, and sheds light on the general feelings towards AI, including expectations and concerns. Conclusions The findings show that the overall awareness surrounding AI is rather divided. AI is already implemented in various design processes and software, whether the designer is aware of it or not. It can thus be concluded that AI has affected the nature of the digital design profession. However, the effects vary depending on the specific role and the related tasks. Most are interested in learning more about it but natural skepticism and lack of knowledge about the technology remain an obstacle for implementing more AI in companies.
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Kerey, Ayşegül Begüm, and Enrico D`Alessandro. "AI in recruitment: an exploratory study into the factors that impact its pace of adoption. : A case study to reveal the strategic implications of these factors on AI solution providers from a contingency perspective." Thesis, Uppsala universitet, Industriell teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-446406.
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Over the past few years, the adoption of AI in recruitment has accellerated. However, there has been a noticeable resistance from HR managers to invest in AI tools for their deparment. With the aim of understanding the causes prompting this resistance, this thesis investigates the factors that impact the pace of adoption of AI in HR, with a focus on recruitment solutions. While designing an analytical framework inspired by the contingency perspective, the factors have been searched through a literature review and their effects have been tested in terms of magnitude and direction through a qualitative study. To do this, the authors performed a case study involving an external partner, an AI solution provider start-up company. A total of 16 semi-structured interviews have been conducted with different levels of stakeholders, including external partner`s employees, investors, competitors, and end- users. Finally, a strategic analysis of the AI recruitment market has been deployed. Our ambition is that the combination of the information over the factors together with the strategic analysis will empower the companies within the industry in taking better informed strategic decisions.
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Regona, Massimo. "Opportunities and adoption constraints of artificial intelligence in the construction industry: A scoping study." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/232514/1/Massimo_Regona_Thesis.pdf.
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This MPhil thesis provides an overview of AI technologies and the key opportunities and challenges these technologies bring to the construction industry. The first study was a literature review that identified and explored the theoretical foundations underpinning AI technologies that are currently being used in construction, specifically in the design, planning and construction stages. Secondly, the study used social media analytics to explore AI technology adoption, prospects and constraints in the Australian construction industry. Finally, a sentiment analysis established the opportunities, challenges and public perception towards AI technologies in construction.
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Forslund, Lia, and Mentzer Sofia von. "Sjukvårdskris och svalt mottagande av AI, hur går det ihop? : En fallstudie i vilka faktorer som har störst påverkan på införandet av artificiell intelligens." Thesis, Uppsala universitet, Institutionen för informatik och media, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414559.
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Det svenska sjukvårdssystemet är konstant under hög press och situationen benämns ofta i media som en sjukvårdskris. Radiologin är en av de medicinska discipliner som drabbats av en kontinuerligt ökande arbetsbelastning och personalbrist. Detta sätter sjukvården i en situation att konstant tvingas väga effektivitet mot kvalitet. Trots höga förväntningar på att innovationer som Artificiell Intelligens (AI) ska kunna bistå behoven, används AI idag i en mycket begränsad utsträckning. Denna studie syftar till att utreda påverkande faktorer för införandet av AI inom radiologin. För att besvara arbetets forskningsfråga har HA Adoption-Decision Model, en modifierad version av det väletablerade Technology-Organization-Environment Framework (TOE), tillämpats. Ramverket innefattar tre kontexter; teknologisk, organisatorisk och extern kontext. Varje kontexts delaspekter, så kallade faktorer, följer under respektive kontext. Dessa tio faktorer utvärderades för att besvara studiens forskningsfråga om vilka faktorer som har störst påverkan på införande av AI inom radiologi. Genom att förena tidigare forskning med resultatet från sex intervjuer visade sig affärsvärde , strategisk lämplighet , ledningsstöd och reglering av datahantering ha störst påverkan. Avslutningsvis presenteras ett förslag om att introducera en elfte faktor, IT-mognad, till ramverket.
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Talebi, Roxana, and Julia Timmas. "User Adoption of Cognitive Agents : Identifying success factors from a process perspective." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279631.
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With the rise of intelligent solutions such as cognitive agents, many organizations are trying to identify how they can best utilize the benefits of the technology to make advancements as a company and enhance employee job performance. However, the attempts of many organizations are falling short from their expectations and users do not adopt to the technology. To investigate this problem, a qualitative study was performed with the aim of exploring the different phases of a cognitive agent project process to identify key factors and incentives influencing user adoption, by comparing organizational and individual perspectives. The study results show that 94% of managers see added potential and value in this type of technological initiative, while the number is only 60% for the more operational positions. This indicates a gap between the different perspectives which can hinder successful adoption. The results show that involvement of users throughout the process can decrease this gap. With the increasing complexity of cognitive technology, as it learns over time, the study implies that user awareness and clear expectations through a collaborative process enables increased adoption. Further, the study argues that the adoption process starts earlier than organizations might think. This implies that it is important to look at the life cycle perspective and factors influencing adoption. In order to impact the user adoption rate, this study highlights several factors and incentives, emphasizing on context and the combination of the different aspects, which contribute to higher performance and a wider spread of cognitive agent application.Med ökningen av intelligenta lösningar, så som kognitiva agenter, gör att många organisationer försöker identifiera hur de kan utnyttja teknikens fördelar bäst för att gynna användarnas effektivitet. Men många organisationers försök lever inte upp till förväntningarna och användarna tar inte till sig tekniken. För att undersöka problemen med detta genomfördes en kvalitativ studie med syftet att utforska de olika faserna i ett kognitiv agent-projekt för att identifiera nyckelfaktorer och incitament som påverkar användandet av lösningen, genom att jämföra det organisatoriska och individuella perspektivet. Studieresultaten visar att 94% av ledarna ser en enorm potential och värde i denna typ av teknikinitiativ, medan endast 60% av de mer operativa användarna upplever värde i en kognitiv agent. Detta indikerar ett gap mellan de olika perspektiven som kan hindra framgångsrik adoption. Resultaten visar att om användare är involverade under hela processen kan det minska detta gap. Med den ökande komplexiteten i kognitiv teknik, som utvecklas över tid, innebär studien att användarmedvetenhet och tydliga förväntningar genom en samarbetsprocess möjliggör ökad adoption. Vidare belyser studien att adoptionsprocessen börjar tidigare än organisationer kan tro. Detta innebär att det är viktigt att titta ur livscykelperspektivet på faktorer som påverkar adoptionen. För att påverka användarnas adoptionsgrad belyser denna studie flera faktorer och incitament, med betoning på kontext och kombinationen av olika aspekter, vilket bidrar till högre prestanda och en bredare spridning av kognitiva agenter.
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Jahan, Masrurah. "Factors disrupting the evolution of Artificial Intelligence from the perspective of an IT company." Thesis, Uppsala universitet, Informationssystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-445631.
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Background: Artificial intelligence has risen to prominence as a subject of study. The pace of artificial intelligence evolution in Bangladesh's IT industry is increasing by the day. In Bangladesh's IT Industry, artificial intelligence (AI) offers enormous potential. Despite the huge potential and advantages of AI implementation or adoption, Bangladesh's IT industry is still failing to move forward with its AI implementation. Objectives: The objective of this study is to identify the main factors that disturb the implementation of AI in the IT Company of Bangladesh. Novelty: In Bangladesh, most of the AI-related research conducted by focusing existing Scope of AI in the Bangladesh, as Bangladesh is in the initial phase of AI Adoption, this paper, therefore, sought to find out the factors that inhibit IT Industry to implement AI. Method: A quantitative method is used to find the results of the study. This paper reports on the results of an online survey questionnaire involving 51 IT professionals from a large IT company of Bangladesh about their perception regarding AI to find out the challenges. Results: Result indicates certain major challenges in AI implementation in Bangladesh’s IT Industry like Lack of AI skills and Incomplete knowledge or understanding regarding AI's capabilities and limitations, Internal culture Lack of Financial investment, , Data management, Lack of technological Infrastructure, Lack of top managerial support, Lack of legal and ethical framework, Non AI Approaches are sufficient by encapsulating them into three challenges context-organizational, environmental and technical barriers using IS theory TOE framework. Contributions: The study offers Insights to policymakers, executives and top-level managers to pay attention of adopting AI in IT Industry of Bangladesh by overcoming the challenges, besides further research can be conducted on how Bangladesh IT industry can overcome the AI implementation challenges. Conclusion: As Bangladesh is progressing with Technology, hence this is a high time to identify the major challenges that inhibit the AI Implantation in Bangladesh’s IT Industry. Policymakers, executives and top-level managers should find a proper solution policy to mitigate the challenges and adapt AI to boost up IT Industry of Bangladesh.
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Paljak, Felix. "Enabling Technology Adoption in Conservative Industries : A Case Study within Private Real Estate Development." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263957.
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The thesis examines technology adoption within the real estate development industry, an industry that has historically lagged the adoption rate of innovations compared to industrial counterparts. The study finds that the favorable market conditions for real estate as an asset class following the debt crisis in 2008 may have been a significant denominator in slowing down the technology adoption within the industry when several industries at the same time have faced fundamental industrial disruption. The absence of vertical integration within the industry decreases the transparency and complicates the emergence of innovative solutions as technology developers continuously fail to identify what features and functionalities that are desired by industry practitioners. The study finds that the higher the observability of the innovation, the higher is the probability of technology adoption within an organization. In addition, organizations are heavily dependent on having the facilitating conditions in-place internally to enable an effective technology adoption and implementation.Avhandlingen granskar teknikupptagning inom fastighetsutvecklingsbranschen, en bransch som historiskt sett har haft en lägre adoptionsgrad av innovationer jämfört med industriella motsvarigheter. Studien konstaterar att de gynnsamma marknadsförhållandena för fastigheter som tillgångsslag efter finanskrisen 2008 kan ha varit en betydande nämnare för att hålla tillbaka teknikutvecklingen i industrin när flera industrier samtidigt har genomgått fundamental förändring. Frånvaron av vertikal integration inom branschen minskar insynen och komplicerar framväxten av innovativa lösningar, eftersom teknikutvecklare kontinuerligt har misslyckats att identifiera de funktioner och funktionaliteter som önskas av professionella inom branschen. Studien konstaterar att ju högre möjligheten att observera innovationens kapacitet är, desto högre är sannolikheten för teknisk adoption inom en organisation. Dessutom konstateras att organisationer är starkt beroende av att stödjande infrastruktur finns på plats internt för att möjliggöra en effektiv teknikupptagning och implementation.
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Klinga, Peter. "Transforming Corporate Learning using Automation and Artificial Intelligence : An exploratory case study for adopting automation and AI within Corporate Learning at financial services companies." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279570.
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As the emergence of new technologies are continuously disrupting the way in which organizations function and develop, the majority of initiatives within Learning and Development (L&D) are far from fully effective. The purpose of this study was to conduct an exploratory case study to investigate how automation and AI technologies could improve corporate learning within financial services companies. The study was delimited to study three case companies, all primarily operating in the Nordic financial services industry. The exploratory research was carried out through a literature review, several indepth interviews as well as a survey for a selected number of research participants. The research revealed that the current state of training within financial services is characterized by a significant amount of manual and administrative work, lack of intelligence within decision-making as well as a non-existing consideration of employee knowledge. Moreover, the empirical evidence similarly reveled a wide array of opportunities for adopting automation and AI technologies into the respective learning workflows of the L&D organization within the case companies.I takt med att företag kontinuerligt anammar nya teknologier för att förbättra sin verksamhet, befinner sig utbildningsorganisationer i ett märkbart ineffektivt stadie. Syftet med denna studie var att genomföra en explorativ fallstudie gällande hur finansbolag skulle kunna införa AI samt automatisering för att förbättra sin utbildningsorganisation. Studien var begränsat till att undersöka tre företag, alla med verksamhet i den nordiska finansbranschen. Den explorativa delen av studien genomfördes med hjälp av en litteraturstudie, flertal djupgående intervjuer samt en enkät för ett begränsat antal deltagare i forskningsprocessen. Forskning påvisade att den existerade utbildningsorganisationen inom finansbolag är starkt präglat av ett överflöd av manuellt och administrativt arbete, bristande intelligens inom beslutsprocesser samt en bristande hänsyn för existerande kunskapsnivåer bland anställda. Studien påvisade därtill en mängd möjligheter att införa automatisering samt AI för att förbättra utbildningsflödena inom samtliga deltagande bolag i fallstudien.
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Li, Wenda. "Understanding the state-of-the-art, emerging trends and impacts of smart homes on future living." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/230960/1/Wenda_Li_Thesis.pdf.
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This MPhil thesis provides a macroscopic overview of existing smart home research to generate an understanding of its evolution, existing practices, emerging trends, and adoption matters in the context of 'shifting to smart living'. It may assist practitioners, researchers, policymakers and planners to recognise the potential of smart homes in shaping future living, cities, and societies, and help to address the potential influences and challenges that may be posed by this innovation.
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HUANG, YING-ZI, and 黃瑛自. "Research on the factors of AI adoption in retail industry." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/k9wk68.
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碩士國立高雄科技大學
行銷與流通管理系
107
In 2017, the domestic retail industry accounted for 45% of the national income, which is rising year by year. It is known that Taiwan's retail industry is very important in the commercial market, and the development of science and technology has prompted contemporary enterprises to operate in a highly digital environment. All kinds of operations, development, services, etc. are based on digitalization and dominate the formation of service automation and business linkage. At present, the introduction of artificial intelligence (AI) in the domestic retail industry is still in its infancy. The smart technology needs to cover many challenges in its service connotation. Its technology fundamentally changes the process and results of organizational innovation. There may be many adjustments and changes. Therefore, this study will explore the key factors when retailing considering the adoption of AI. This study uses the literature review to establish a three-level factor hierarchy structure table based on the Technology-Organization-Environment Framework(TOE). The Analytic Network Process (ANP) is used to find out the weight of the influencing factors based on returned expert questionnaires of the information industry, academics, and retail industry. Finally, the comparism and analysis of important factors will be discussed from demend side and supply side and and expects these results can provide a valuable reference for the retail industry when adopting AI in the future.
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Pillai, R., B. Sivathanu, M. Mariani, Nripendra P. Rana, B. Yang, and Y. K. Dwivedi. "Adoption of AI-powered Industrial Robots in Auto Component Manufacturing Companies." 2020. http://hdl.handle.net/10454/18138.
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YesThe usage of AI-empowered Industrial Robots (InRos) is booming in the Auto Component Manufacturing Companies (ACMCs) across the globe. Based on a model leveraging the Technology, Organisation, and Environment (TOE) framework, this work examines the adoption of InRos in ACMCs in the context of an emerging economy. This research scrutinizes the adoption intention and potential use of InRos in ACMCs through a survey of 460 senior managers and owners of ACMCs in India. The findings indicate that perceived compatibility, external pressure, perceived benefits and support from vendors are critical predictors of InRos adoption intention. Interestingly, the study also reveals that IT infrastructure and government support do not influence InRos adoption intention. Furthermore, the analysis suggests that perceived cost issues negatively moderate the relationship between the adoption intention and potential use of InRos in ACMCs. This study offers a theoretical contribution as it deploys the traditional TOE framework and discovers counter-intuitively that IT resources are not a major driver of technology adoption: as such, it suggests that a more comprehensive framework than the traditional RBV should be adopted. The work provides managerial recommendations for managers, shedding light on the antecedents of adoption intention and potential use of InRos at ACMCs in a country where the adoption of InRos is in a nascent stage.
The full-text of this article will be released for public view at the end of the publisher embargo on 18 Feb 2022.
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Chatterjee, S., Nripendra P. Rana, Y. K. Dwivedi, and A. M. Baabdullah. "Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model." 2021. http://hdl.handle.net/10454/18484.
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YesThis study aims to identify how environmental, technological, and social factors influence the adoption of Industry 4.0 in the context of digital manufacturing. The Industry 4.0 era has brought a breakthrough in advanced technologies in fields such as nanotechnology, quantum computing, biotechnology, artificial intelligence, robotics, the Internet of Things, fifth-generation wireless technology, fully autonomous vehicles, 3D printing and so on. In this study, we attempted to identify the socioenvironmental and technological factors that influence the adoption of artificial intelligence embedded technology by digital manufacturing and production organizations. In doing so, the extended technology-organization-environment (TOE) framework is used to explore the applicability of Industry 4.0. A conceptual model was proposed that used an integrated technology acceptance model (TAM)-TOE model and was tested using survey-based data collected from 340 employees of small, medium and large organizations. The results highlight that all the relationships, except organizational readiness, organizational compatibility and partner support on perceived ease of use, were found to be significant in the context of digital manufacturing and production organizations. The results further indicated that leadership support acts as a countable factor to moderate such an adoption.
The full-text of this article will be released for public view at the end of the publisher embargo, 18 months from first publication.
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Liao, Sheng-Kai, and 廖勝凱. "A Study on the Adoption of Common Supply Contracts on Technical Service Procurement of ROCA's Sewage System Construction- A Case Study of Loyal ai the Camp Sewage System Technical Services." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/w5w78c.
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碩士中華大學
營建管理學系碩士班
103
In recent years, the government has been promoting public office reorganization policies¸ initiating the combination of offices, streamlining manpower, and the downgrading of organizational structures. As numbers of available procurement officials dwindle, it has become increasingly difficult to establish a functional capacity for the outsourcing of service procurements, causing further complications in sewage construction projects. Despite the development in the processes and procedures to procure technical services in construction projects, government agencies are still responsible for planning and contracting out projects, resulting in heavy burdens for technical service offices. The operational mode of inter-entity supply contracts is based on the commanilty of procurement demands. This research seeks to combine MND (Ministry of National Defense) administration operations and create specialized work groups, integrating the common demands of the staff, and establish inter-entity supply contracts in both property and service procurements. By accumulating experience and emphasizing on communication, we should be able to successfully improve procurement efficiency. In addition, basic staff have access to legal procurement channels, improving procurement capabilities. This study attempts to explore the application of inter-entity supply contracts in the sewage projects. After identifying common requirements and defining contracting authorities and organs of application, the contracting information can be uploaded to a designated website. The users of sewage system, as organs of application, will only have to log in to the system to select a contractor for technical service instead of opening a bid for each single project, thus reducing unnecessary repeated bidding processes and saving manpower costs. The use of inter-entity supply contracts in the procurement of technical services by government agencies, allowed it to reduce 115 work hours in procurement operations, reducing 88% of the procurement time; thus, effectively reducing unnecessary repeated bidding processes and saving manpower costs; this simplified procurement routine, contributes to the greater efficiency of procuring technical services. Suggestions are also made to scale the inter-entity supply contract at county or municipal city level, or any level defined by the authorities; Using multiple award in separate districts and more than two suppliers in a single district. This would allow more options for organs of application as an incentive to use the system. The MOD can attempt to combine administration operations and create specialized work groups, integrating the common demands of the staff, establishing inter-entity supply contracts in both property and service procurements. The accumulation of experience and emphasis on communication should be able to successfully increase procurement efficiency. In addition, basic staff will have access to legal procurement channels, improving procurement capabilities.